| Pigeon vs King | 17–32 | 34.69% |
| Pigeon vs Steve | 20–29 | 40.82% |
| Pigeon vs Jin | 11–30 | 26.83% |
| Pigeon vs Reina | 18–16 | 52.94% |
| Pigeon vs Jun | 11–18 | 37.93% |
| Pigeon vs Clive | 14–14 | 50.00% |
| Pigeon vs Lili | 10–17 | 37.04% |
| Pigeon vs Dragunov | 9–18 | 33.33% |
| Pigeon vs Hwoarang | 15–10 | 60.00% |
| Pigeon vs Bryan | 8–15 | 34.78% |
| Pigeon vs Lidia | 16–7 | 69.57% |
| Pigeon vs Victor | 8–14 | 36.36% |
| Pigeon vs Devil Jin | 7–10 | 41.18% |
| Pigeon vs Nina | 8–9 | 47.06% |
| Pigeon vs Azucena | 10–7 | 58.82% |
| Pigeon vs Law | 7–8 | 46.67% |
| Pigeon vs Kazuya | 4–11 | 26.67% |
| Pigeon vs Heihachi | 5–10 | 33.33% |
| Pigeon vs Feng | 5–7 | 41.67% |
| Pigeon vs Eddy | 7–5 | 58.33% |
| Pigeon vs Xiaoyu | 5–6 | 45.45% |
| Pigeon vs Alisa | 3–8 | 27.27% |
| Pigeon vs Lee | 7–4 | 63.64% |
| Pigeon vs Asuka | 6–4 | 60.00% |
| Pigeon vs Raven | 6–4 | 60.00% |
| Pigeon vs Anna | 3–7 | 30.00% |
| Pigeon vs Lars | 1–7 | 12.50% |
| Pigeon vs Leroy | 2–6 | 25.00% |
| Pigeon vs Paul | 0–6 | 0.00% |
| Pigeon vs Yoshimitsu | 0–6 | 0.00% |
| Pigeon vs Kuma | 2–4 | 33.33% |
| Pigeon vs Leo | 3–2 | 60.00% |
| Pigeon vs Claudio | 2–3 | 40.00% |
| Pigeon vs Zafina | 3–2 | 60.00% |
| Pigeon vs Jack-8 | 3–1 | 75.00% |
| Pigeon vs Panda | 3–1 | 75.00% |
| Pigeon vs Fahkumram | 1–2 | 33.33% |
| Pigeon vs Armor King | 1–1 | 50.00% |
Limitations
This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.
For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.
There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.
In the meantime, this page is here to present the data as requested.